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Remote Computational Modeling Jobs (NOW HIRING)

$48K - $65K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... some computational modeling. The position requires a doctoral (Ph.D.) degree in a scientific ...

$16/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... computational models of the human postural system. This position offers hands-on experience in ...

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Remote Computational Modeling information

What are the key skills and qualifications needed to thrive as a Remote Computational Modeling Specialist, and why are they important?

To excel in Remote Computational Modeling, you need a strong background in mathematics, physics, and computer science, often supported by a relevant degree such as in engineering or applied sciences. Proficiency with modeling software (like MATLAB, ANSYS, or COMSOL), programming languages (such as Python or C++), and cloud computing platforms is typically required. Outstanding analytical thinking, problem-solving abilities, and effective remote communication skills set top candidates apart. These competencies ensure accurate model development, efficient collaboration, and the ability to deliver reliable results in a remote work environment.

What is remote computational modeling?

Remote computational modeling is the process of creating and simulating mathematical models of real-world systems using computer software, performed from a location outside a traditional office or laboratory setting. Professionals in this field use specialized software to analyze complex data, make predictions, and solve scientific or engineering problems, all while collaborating virtually with teams or clients. This remote setup allows for greater flexibility and access to global projects, making it an attractive option for computational scientists, engineers, and analysts.

What is the difference between Remote Computational Modeling vs Remote Data Analysis?

AspectRemote Computational ModelingRemote Data Analysis
Required CredentialsDegree in computational science, engineering, or related fields; programming skillsDegree in statistics, data science, or related fields; analytical skills
Work EnvironmentCollaborative teams, research labs, or industry projects involving simulationsData-focused environments, business analytics, or research settings
Industry UsageEngineering, scientific research, product developmentBusiness, marketing, healthcare, finance
Search & Comparison IntentUnderstanding roles involving simulation and modeling techniquesAnalyzing data sets to derive insights

Remote Computational Modeling involves creating simulations and models to predict or analyze complex systems, often requiring programming and scientific expertise. Remote Data Analysis focuses on examining data sets to extract meaningful insights, typically using statistical tools. While both roles require analytical skills and often overlap in technical knowledge, they serve different purposes within industries like engineering, research, and business.

What are some common challenges faced by professionals in remote computational modeling roles, and how can they be addressed?

Professionals in remote computational modeling often face challenges such as maintaining effective communication with team members, managing complex simulations across distributed systems, and staying aligned with project goals without in-person oversight. To overcome these obstacles, it's important to leverage collaboration tools, establish regular check-ins with your team, and document your work thoroughly. Additionally, setting up a reliable remote work environment with necessary software and high-speed internet can help ensure productivity and minimize technical disruptions.
More about Remote Computational Modeling jobs
What cities are hiring for Remote Computational Modeling jobs? Cities with the most Remote Computational Modeling job openings:
What are the most commonly searched types of Computational Modeling jobs? The most popular types of Computational Modeling jobs are:
What states have the most Remote Computational Modeling jobs? States with the most job openings for Remote Computational Modeling jobs include:
Infographic showing various Remote Computational Modeling job openings in the United States as of July 2026, with employment types broken down into 68% Full Time, 31% Part Time, and 1% Contract. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution.
Particle Physics Expert - Computational Specialist

Particle Physics Expert - Computational Specialist

Mercor

San Francisco, CA • Remote

$70 - $100/hr

Full-time

Posted 25 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Particle & Nuclear Physics Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to evaluate AI capabilities in Particle & Nuclear Physics.
  • Develop problems requiring skilled use of scikit-hep and related HEP Python tools for data analysis and simulations.
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty.
  • Collaborate on problem-solving strategies that involve strategic planning and efficient data interpretation.
  • Work independently to refine problem designs based on feedback and testing outcomes.
  • Utilize Linux/terminal environments and remote compute sandboxes effectively.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proficiency with at least one scientific software library, demonstrated through research publications or professional work.
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work independently and refine designs based on feedback.
  • Comfortable in a Linux/terminal environment.

Preferred

  • Experience across multiple domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.